RESUMO
Mechanistic insights into the role of the human microbiome in the predisposition to and treatment of disease are limited by the lack of methods to precisely add or remove microbial strains or genes from complex communities. Here, we demonstrate that engineered bacteriophage M13 can be used to deliver DNA to Escherichia coli within the mouse gastrointestinal (GI) tract. Delivery of a programmable exogenous CRISPR-Cas9 system enables the strain-specific depletion of fluorescently marked isogenic strains during competitive colonization and genomic deletions that encompass the target gene in mice colonized with a single strain. Multiple mechanisms allow E. coli to escape targeting, including loss of the CRISPR array or even the entire CRISPR-Cas9 system. These results provide a robust and experimentally tractable platform for microbiome editing, a foundation for the refinement of this approach to increase targeting efficiency, and a proof of concept for the extension to other phage-bacterial pairs of interest.
Assuntos
Bacteriófago M13/genética , Proteína 9 Associada à CRISPR/genética , Sistemas CRISPR-Cas , Deleção Cromossômica , Cromossomos Bacterianos , Repetições Palindrômicas Curtas Agrupadas e Regularmente Espaçadas , Escherichia coli/genética , Microbioma Gastrointestinal , Edição de Genes , Animais , Proteína 9 Associada à CRISPR/metabolismo , Escherichia coli/crescimento & desenvolvimento , Fezes/microbiologia , Feminino , Regulação Bacteriana da Expressão Gênica , Camundongos Endogâmicos BALB C , Camundongos Transgênicos , Estudo de Prova de ConceitoRESUMO
Despite the remarkable microbial diversity found within humans, our ability to link genes to phenotypes is based upon a handful of model microorganisms. We report a comparative genomics platform for Eggerthella lenta and other Coriobacteriia, a neglected taxon broadly relevant to human health and disease. We uncover extensive genetic and metabolic diversity and validate a tool for mapping phenotypes to genes and sequence variants. We also present a tool for the quantification of strains from metagenomic sequencing data, enabling the identification of genes that predict bacterial fitness. Competitive growth is reproducible under laboratory conditions and attributable to intrinsic growth rates and resource utilization. Unique signatures of in vivo competition in gnotobiotic mice include an adhesin enriched in poor colonizers. Together, these computational and experimental resources represent a strong foundation for the continued mechanistic dissection of the Coriobacteriia and a template that can be applied to study other genetically intractable taxa.
Assuntos
Bactérias/genética , Bactérias/isolamento & purificação , Dissecação/métodos , Microbioma Gastrointestinal/genética , Genômica , Actinobacteria/classificação , Actinobacteria/efeitos dos fármacos , Actinobacteria/genética , Actinobacteria/isolamento & purificação , Animais , Antibacterianos/farmacologia , Bactérias/classificação , Bactérias/efeitos dos fármacos , Microbioma Gastrointestinal/fisiologia , Trato Gastrointestinal/microbiologia , Genes Bacterianos/genética , Vida Livre de Germes , Humanos , Metagenoma , Metagenômica , Camundongos , Testes de Sensibilidade Microbiana , Família Multigênica , Fenótipo , Polimorfismo GenéticoRESUMO
Bacteriophages are abundant within the human gastrointestinal tract, yet their interactions with gut bacteria remain poorly understood, particularly with respect to CRISPR-Cas immunity. Here, we show that the type I-C CRISPR-Cas system in the prevalent gut Actinobacterium Eggerthella lenta is transcribed and sufficient for specific targeting of foreign and chromosomal DNA. Comparative analyses of E. lenta CRISPR-Cas systems across (meta)genomes revealed 2 distinct clades according to cas sequence similarity and spacer content. We assembled a human virome database (HuVirDB), encompassing 1,831 samples enriched for viral DNA, to identify protospacers. This revealed matches for a majority of spacers, a marked increase over other databases, and uncovered "hyper-targeted" phage sequences containing multiple protospacers targeted by several E. lenta strains. Finally, we determined the positional mismatch tolerance of observed spacer-protospacer pairs. This work emphasizes the utility of merging computational and experimental approaches for determining the function and targets of CRISPR-Cas systems.